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Pushing the limits of in vivo diffusion MRI for the Human Connectome Project
TLDR
The Human Connectome Project is to address limiting factors by re-engineering the scanner from the ground up to optimize the high b-value, high angular resolution diffusion imaging needed for sensitive and accurate mapping of the brain's structural connections by implementing a novel 4-port drive geometry and optimizing size and linearity for the brain. Expand
Interslice leakage artifact reduction technique for simultaneous multislice acquisitions
TLDR
Rugby optimization techniques for SG are investigated to ensure image reconstruction accuracy through a reduction of leakage artifacts and to improve the temporal efficiency of controlled aliasing techniques. Expand
Fast image reconstruction with L2‐regularization
We introduce L2‐regularized reconstruction algorithms with closed‐form solutions that achieve dramatic computational speed‐up relative to state of the art L1‐ and L2‐based iterative algorithms whileExpand
Wave‐CAIPI for highly accelerated 3D imaging
To introduce the wave‐CAIPI (controlled aliasing in parallel imaging) acquisition and reconstruction technique for highly accelerated 3D imaging with negligible g‐factor and artifact penalties.
Fast quantitative susceptibility mapping with L1‐regularization and automatic parameter selection
To enable fast reconstruction of quantitative susceptibility maps with total variation penalty and automatic regularization parameter selection.
MGH–USC Human Connectome Project datasets with ultra-high b-value diffusion MRI
TLDR
The efforts of the MGH-USC HCP consortium in acquiring and sharing the ultra-high b-value diffusion MRI data are described and a report on data preprocessing and access is provided. Expand
Local specific absorption rate (SAR), global SAR, transmitter power, and excitation accuracy trade‐offs in low flip‐angle parallel transmit pulse design
We propose a constrained optimization approach for designing parallel transmit (pTx) pulses satisfying all regulatory and hardware limits. We study the trade‐offs between excitation accuracy, localExpand
Superfast and Stable Structured Solvers for Toeplitz Least Squares via Randomized Sampling
TLDR
This work generalizes standard hierarchically semiseparable (HSS) matrix representations to rectangular ones, and constructs a rectangular HSS approximation to $\mathcal{C}$ in nearly linear complexity with randomized sampling and fast multiplications of $\ mathcal{ C}$ with vectors. Expand
Fast group matching for MR fingerprinting reconstruction
TLDR
A large dictionary of Bloch simulations is compared against rapidly acquired data to estimate tissue properties such as T1, T2, proton density, and B0, and this matching process can be a very computationally demanding portion of MRF reconstruction. Expand
High‐resolution in vivo diffusion imaging of the human brain with generalized slice dithered enhanced resolution: Simultaneous multislice (gSlider‐SMS)
To develop an efficient acquisition for high‐resolution diffusion imaging and allow in vivo whole‐brain acquisitions at 600‐ to 700‐μm isotropic resolution.
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